文学小说叙事结构的社交网络分析
Social Networks Analysis in Discovering the Narrative Structure of Literary Fiction
摘要：
在我们的论文中，我们想做一个跨学科的飞跃，并使用网络理论的工具来理解和探索文学小说中的叙事结构，这是一种仍然被低估的方法。然而，小说中的系统对读者的主观性很敏感，必须注意不同的网络提取方法。该项目旨在通过比较由自动算法-自然语言处理产生的网络与通过调查更主观的人类反应创建的网络，来调查文本中阅读社交互动的不同方式。科学家们已经从小说中提取出了对话网络，但围绕这些互动的更一般的框架却缺失了。我们提出了几种用于检测交互的NLP方法，并针对一系列人类感知进行了测试。在此过程中，我们指出了用网络分析来检验文学理论的一些局限性，如与情节相对应的互动并不形成高潮。
英文摘要：
In our paper we would like to make a cross-disciplinary leap and use the tools of network theory to understand and explore narrative structure in literary fiction, an approach that is still underestimated. However, the systems in fiction are sensitive to readers subjectivity and attention must to be paid to different methods of extracting networks. The project aims at investigating into different ways social interactions are read in texts by comparing networks produced by automated algorithms-natural language processing with those created by surveying more subjective human responses. Conversation networks from fiction have been already extracted by scientists, but the more general framework surrounding these interactions was missing. We propose several NLP methods for detecting interactions and test them against a range of human perceptions. In doing so, we have pointed to some limitations of using network analysis to test literary theory, e.g. interaction, which corresponds to the plot, does not form climax.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
